Machine Learning Engineer - Liverpool, United Kingdom - NLP PEOPLE

    NLP PEOPLE
    NLP PEOPLE Liverpool, United Kingdom

    1 month ago

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    Full time
    Description

    ML Engineer (NLP) – Remote (UK) – Permanent

    Ready to apply Before you do, make sure to read all the details pertaining to this job in the description below.

    NLP/LLM, Python, Machine Learning, Sustainability, SaaS

    £70,000-£90,000 salary

    • **Please note this role does not offer sponsorship, and you must be based in the UK to apply***

    I'm currently partnered up with a global sustainability tech leader that utilises AI and machine learning to drive social impact. Leveraging AI and machine learning, they empower decision-makers with impactful data, backed by prominent investors in the sustainability tech sector.

    They are looking to bring an NLP-focused ML Engineer on-board, to develop NLP models and pipelines for data enhancement, collaborate with their wider Data team, and keep ahead of the latest trends in NLP and ML.

    Requirements:

    • Master's/PhD in a relevant field.

    • Minimum 3 years of similar role experience.

    • Proven experience within ML AND NLP.

    • Experience working with Python, AWS, Git, CI/CD, Deep Learning frameworks.

    • Experience with deploying NLP models in production is a... plus.

    Benefits:

    • Stock options.

    • Empowered Learning: Annual training budget for professional growth.

    • Premium Health Insurance

    • Access to gyms, online fitness classes, and more.

    • Flexible Work Arrangements: Hybrid/remote work options, global co-working spaces.

    If you think this opportunity could be of interest and fits your skill-set, please apply below and I'll be in touch

    ML Engineer (NLP) – Remote (UK) – Permanent

    NLP/LLM, Python, Machine Learning, Sustainability, SaaS

    £70,000-£90,000 salary
    Company:

    Opus Recruitment Solutions
    Qualifications:
    Language requirements:
    Specific requirements:
    Educational level:
    Level of experience (years):

    Senior (5+ years of experience)

    Tagged as: Industry, Machine Learning, NLP, United Kingdom
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